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Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic
  Prediction with Navigation Data

Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data

23 June 2020
Rui Dai
Shenkun Xu
Qian Gu
Chenguang Ji
Kaikui Liu
    AI4TS
ArXivPDFHTML

Papers citing "Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data"

3 / 3 papers shown
Title
Domain Adversarial Spatial-Temporal Network: A Transferable Framework
  for Short-term Traffic Forecasting across Cities
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities
Yihong Tang
Ao Qu
A. Chow
W. Lam
S. Wong
Wei-Ying Ma
AI4TS
97
54
0
08 Feb 2022
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic
  Prediction
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction
Renhe Jiang
Du Yin
Zhaonan Wang
Yizhuo Wang
Jiewen Deng
Hangcheng Liu
Z. Cai
Jinliang Deng
Xuan Song
Ryosuke Shibasaki
AI4TS
51
158
0
20 Aug 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
1